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Ambarella

Edge AI vision processors for cameras

Senior Product Marketing Manager

Product MarketingConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • A BA/B.Sc. in Computer Science, Electrical Engineering, or a related field is required; an advanced degree is a plus.
  • Experience in the semiconductor industry, including hardware, embedded systems, and/or SoC and software platforms.
  • At least 10 years of relevant industry experience and 5 years of experience in a similar senior product marketing or product management position.
  • A successful track record of developing new markets and/or growing a partner, ISV, or developer ecosystem.
  • Working knowledge of artificial intelligence, video/imaging, and edge AI; familiarity with robotics, drones, machine vision, industrial automation, or Physical AI is highly preferred.
  • Working familiarity with hardware, embedded software, and AI concepts sufficient to engage engineering teams and technical customers on product definition and go-to-market.
  • Excellent presentation and communication skills, with the ability to move between executive narrative and technical depth.
  • Strong cross-functional leadership with sales, FAE/apps, engineering, and external partners.
  • Availability to travel worldwide up to 30% of the time.

Responsibilities

  • Support product marketing in an assigned subset of robotics, drones/UAVs, machine vision, industrial automation, and adjacent Physical AI end markets.
  • Develop go-to-market strategy, including product definition for hardware and software, internal engineering deliverables, external branding, demonstrations, and tradeshows.
  • Establish a worldwide target customer list and work with sales and partnership teams to penetrate target accounts and maintain relationships at current accounts across OEMs, ODMs, module makers, system integrators, ISVs, and industrial, robotics, and drone customers.
  • Support and drive program management for key DevZone initiatives and related go-to-market programs by working cross-functionally with product marketing, channels and partnerships, and engineering teams.
  • Act as the link between customers and internal sales and FAE teams, managing both the technical and business aspects of customer interactions.
  • Gather customer requirements and feedback for the engineering team, translating field insights into prioritized product and software requirements.
  • Create and maintain sales and partner enablement materials, including positioning, messaging, product/application briefs, competitive materials, demos, case studies, and web content for technical and commercial audiences.
  • Work with engineering teams to define software, chip, and feature roadmaps for robotics, drones, machine vision, and industrial automation use cases.
  • Support the organization of tradeshows, webinars, customer workshops, and partner events; assist marketing before and during shows with technical and commercial credibility.
  • Travel regionally and internationally up to approximately 30%, primarily for customer and partner meetings, events, and workshops.

Desired Qualifications

  • Experience combining product marketing with product management and/or program management, including requirements, roadmap, cross-functional execution, and launch ownership, especially for developer platforms or SDKs.
  • Direct experience marketing or managing developer platforms, Model Gardens/model zoos, SDKs, or low-code/no-code AI tooling.
  • Experience with industrial cameras, stereovision, SLAM/visual odometry, sensor fusion, aerial drones/UAVs, AMRs/cobots, or factory/warehouse automation applications.
  • Prior work with ISVs, ODMs, module vendors, or system integrators in an open-ecosystem go-to-market model.
  • Experience organizing or supporting major industry events such as CES, Automate, robotics, drone, and industrial/embedded vision shows, and live technical demonstrations.

About the Company

Ambarella

Edge AI vision processors for cameras

Ambarella develops AI vision processors for edge devices to extract meaningful insights from high-resolution video. Its chips and software run locally on cameras and embedded systems, enabling real-time analytics for applications such as ADAS, smart mirrors, drive recorders, security cameras, and industrial robotics, without sending data to the cloud. Revenue comes from licensing its AI vision processors and related software to manufacturers who integrate the tech into their products. The company differentiates itself by focusing on on-device, low-latency processing across automotive, security, consumer IoT, and industrial robotics markets, and by expanding capabilities through acquisitions like Oculii to add radar perception AI algorithms. Ambarella’s goal is to empower real-time, local decision-making in cameras and sensors, enabling safer, more capable edge devices across multiple industries.

Company size
501-1,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2004

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